Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning

This repository contains the full implementation of e-SeaFL paper (accepted to ACSAC 2024).

Warning: This code is a proof-of-concept prototype and is not ready for production use.

Code Structure

• ServerCode/: Contains the Server.py file, which handles the server-side logic in the system.
• UserCode/: Contains the User.py file, which manages the operations of users participating in the system.
• AssistingNodeCode/: Contains the AssistingNodeCode.py file, which manages the operations of assisting nodes in the system.
• AesModeCTR-master/: Contains the C++ implementation for AES encryption in CTR mode.
• Compilation Scripts:
  • auto_setup.sh: Bash script to automatically install the required libraries and packages.
  • script.sh: Bash script to compile necessary binaries (aggregation.so, AesModeCTR) and run the entire system.

Prerequisites

Before running the system, ensure that the following software is installed:

• Python 3.8+
• GCC (for compiling C++ code)
• OpenSSL (for cryptographic operations)

How to Run

To automatically install the required libraries and packages, run the following script:

sudo ./auto_setup.sh

Running e-SeaFL Code

To run the e-SeaFL system, use the following command:

./script.sh -u <number_of_users> -a <number_of_assisting_nodes> -c <commitment> [-o <printAggOutput>] [-p <server_port>]

Parameters:

• -u <number_of_users>: Required. The number of users participating in the federated learning process. Must be greater than 2.
• -a <number_of_assisting_nodes>: Required. The number of assisting nodes in the system.
• -c <commitment>: Required. Set to 0 to run without commitment (i.e., without model integrity check) or `1` to run with commitment (i.e., with model integrity check).
• -o <printAggOutput>: Optional. Controls the output behavior:
  • 0: No print (default).
  • 1: Print result.
  • 2: Print summary.
• -p <server_port>: Optional. The port number for the server (default is `9000`, valid range is `2000-60000`).

Examples:

Running a quick test with 25 users, 3 assisting nodes, without commitment, and printing the summary:

./script.sh -u 25 -a 3 -c 0 -o 2 -p 10050

Running a quick test with 20 users, 3 assisting nodes, with commitment, and printing the summary:

./script.sh -u 20 -a 3 -c 1 -o 2 -p 10070

Running with 400 users, 3 assisting nodes, and without commitment:

./script.sh -u 400 -a 3 -c 0 -p 10400

Running with 200 users, 3 assisting nodes, with commitment, and printing the summary:

./script.sh -u 200 -a 3 -c 1 -o 2 -p 10300